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ECG Indices Poorly Predict Left Ventricular Hypertrophy and Are Applicable Only in Individuals With Low
Małgorzata Chlabicz1,2, Jacek Jamiołkowski1, Marlena Paniczko1
1Department of Population Medicine and Civilization Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland.
Insights
Electrocardiography (ECG) has limited accuracy in detecting left ventricular hypertrophy (LVH), a key cardiovascular risk factor. New diagnostic methods are needed for better risk assessment and treatment.
Area of Science:
- Cardiology
- Diagnostic Imaging
- Preventive Medicine
Background:
- Left ventricular hypertrophy (LVH) is a significant risk factor for cardiovascular events.
- Electrocardiography (ECG) is widely used for LVH detection despite its low sensitivity.
Purpose of the Study:
- To assess the diagnostic performance of established ECG indicators for identifying LVH across varying cardiovascular risk levels.
- To explore novel diagnostic approaches for LVH in the general population.
Main Methods:
- A study involving 676 volunteers was conducted.
- Echocardiography was used as the gold standard for LVH diagnosis.
- Receiver operating characteristic (ROC) curve analysis was employed to evaluate ECG index efficacy.
Main Results:
- 10.2% of participants had LVH; associated factors included older age, higher BMI, elevated blood pressure, and insulin resistance.
- QRS duration, left atrial volume index, troponin T, and hemoglobin A1c were independently linked to LVH.
- Sokolow-Lyon index showed no significant predictive ability; Cornell and Lewis indices had modest predictive value in certain groups.
Conclusions:
- Current ECG methods demonstrate limited efficacy in diagnosing LVH across diverse cardiovascular risk strata.
- There is a critical need for developing novel, simple diagnostic tools for LVH detection in the general population.
- Improved LVH diagnosis is essential for accurate cardiovascular risk stratification and timely intervention.
Abstract:
Background: Left ventricular hypertrophy (LVH) is an important risk factor for cardiovascular events. The electrocardiography (ECG) has poor sensitivity, but it is commonly used to detect LVH.
Aim:
To evaluate the diagnostic efficacy of known ECG indicators to recognize LVH in subgroups with different cardiovascular risk levels. Methods: 676 volunteers were included.
Results:
We found that 10.2% of the analyzed population had LVH based on echocardiography. Individuals with LVH were older, had a higher body mass index, higher systolic blood pressure, lower heart rate, higher parameters of insulin resistance, higher cardiovascular risk, and android-type obesity. Variables that remained independently associated with LVH were QRS duration, left atrial volume index, troponin T, and hemoglobin A1c. The receiver operating characteristics (ROC) curve analysis of the Sokolow-Lyon index did not show a significant predictive ability to diagnose LVH in the whole study population including all cardiovascular risk classes. The ROC curves analysis of Cornell and Lewis indices showed a modest predictive ability to diagnose LVH in the general population and in a low cardiovascular class.
Conclusions:
There is a need for new, simple methods to diagnose LVH in the general population in order to properly evaluate cardiovascular risk and introduce optimal medical treatment of concomitant disease.
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